Spring 2027

Statistical Methods I

Statistical Methods I provides a thorough grounding in modern statistical methods, including probability concepts, statistical inference, and data analysis using modern models, methods, and software.

offering recorded4 credits
Recorded instructors · Spring 2027 Miaoyan Wang

Summary

1 / 4

Past student reviews · Vivak Patel

Students reported having to do all the heavy lifting themselves, noting that the teaching style was unhelpful and office hours were not a viable resource for getting assistance.

Grade history

↗
average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or declared in Statistics VISP

    • Graduate/professional standing
    • declared in Statistics VISP
    take one
STAT 601 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • declared in Statistics VISP

Professors

Spring 2027

Recent recorded grades — Fall 2020: 3.48 GPA, 95.2% A/AB (n=21 letter grades); Spring 2022: 3.79 GPA, 100.0% A/AB (n=17 letter grades); Spring 2024: 3.88 GPA, 87.5% A/AB (n=8 letter grades).

Historical instructors & teaching patterns

MIAOYAN WANG is recorded teaching in Fall 2018, Fall 2020, Spring 2022, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

VIVAK PATEL is recorded teaching in Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 240
DIS 311Classroom Instruction0 / 240

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Past student reviews · Vivak Patel

This graduate-level course is described as hard, but one student found the concepts were taught well by a passionate instructor who gets excited about projects and examples.

Recent recorded grades — Spring 2024: 3.88 GPA, 87.5% A/AB (n=8 letter grades); Fall 2024: 3.55 GPA, 78.4% A/AB (n=37 letter grades); Fall 2025: 3.54 GPA, 72.0% A/AB (n=25 letter grades).

difficulty & workload

Past student reviews · Vivak Patel

Students reported having to do all the heavy lifting themselves, noting that the teaching style was unhelpful and office hours were not a viable resource for getting assistance.

Past student reviews · Vivak Patel

One student felt the instructor demanded a lot to ensure learning, but noted that explanations in Advanced Foundation of Linear Modeling were difficult to follow without extra reading and effort.

Topics

  • Data collection in context
  • Graphical and numerical summaries
  • Probability concepts and models
  • Modern statistical models, methods, and software
  • Interpreting results and evaluating methods
  • Communication of data analysis and findings

Skills

  • Explore data using graphical and numerical summaries
  • Apply probability concepts and models for statistical inference
  • Analyze data using modern statistical models, methods, and software
  • Interpret results and critically evaluate statistical methods
  • Communicate data analysis and key findings in context

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
STAT 601 · Spring 2027

Statistical Methods I

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:932:024335",
    "course_id": "STAT 601",
    "course_uid": "course_0cdbe47e9cba33b1c1a28e66",
    "term_id": "1274",
    "source_course_id": "024335",
    "source_subject_id": "932",
    "title": "Statistical Methods I",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "0bcd3ea9b2945abfaf3c700d1710e4df5a2b4eaa227e6b014ba4078b8af5b6fd",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}